Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,955)
Clear ✕AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning
Hang Yin, Yinan Liang, Jiazhao Zhang +4 more
2026
MODIP: Efficient Model-Based Optimization for Diffusion Policies
Zakariae El Asri, Philippe Gratias-Quiquandon, Nicolas Thome +1 more
2026
On-sky demonstration of reinforcement learning for adaptive optics control
Jalo Nousiainen, Vincent Chambouleyron, Benoit Neichel +7 more
2026
Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication
Yavar Yeganeh, Mahsa Shekari, Nicla Frigerio +2 more
2026
SHAPO: Sharpness-Aware Policy Optimization for Safe Exploration
Kaustubh Mani, Yann Pequignot, Vincent Mai +1 more
2026
An Agency-Transferring Model-Free Policy Enhancement Technique
Anton Bolychev, Georgiy Malaniya, Sinan Ibrahim +1 more
2026
Safe-RULE: Safe Reinforcement UnLEarning
Shixiong Jiang, Taozheng Zhu, Fanxin Kong
2026
Targeting World Models to Compromise Robot Learning Pipelines
Ethan Rathbun, Ahmed Agha, Saaduddin Mahmud +3 more
2026
Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling
Carlos Vélez García, Miguel Cazorla, Jorge Pomares
2026
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems
Karn Tiwari, Niladri Dutta, N M Anoop Krishnan +1 more
2026
Self-Paced Curriculum Reinforcement Learning for Autonomous Superbike Racing in Simulation
Luca Ghisi, Jacopo Essenziale, Carlo D'Eramo +1 more
2026
Autonomous Obstacle Removal for Excavators through Policy Learning with Particle Simulation
Yuki Kadokawa, Sandro M. Alcantara Tacora, Taro Abe +4 more
2026
LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization
Binh Nguyen, Trinh Tran, Truong X. Nghiem
2026
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations.
Zhang X, Li C, Mo H +14 more
Nature communications · 2026
IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking
Ruihua Han, Shuai Wang, Chengyang Li +8 more
2026
Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control
Ali Kafili Gavgani, Amin Talaeizadeh, Aria Alasty +1 more
2026
X-Tokenizer: A Multimodal Action Tokenizer for Vision-Language-Action Pretraining
Xirui Kang, Yanpei Shi, Lucy Liang +10 more
2026
Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach
Zhen Qina, Dong-Fan Xie, Heng Ma +2 more
2026
A Barrier-Modulated Architecture for Safe Affine Formation Control in Second-Order Multi-Agent Systems
Ashik Abrar Naeem, Mohammad Ariful Haque
2026
Learning Predictive Control with Deep Koopman Operators for Autonomous Vehicle Motion Planning
Xinglong Zhang, Yongqian Xiao, Haotian Cao +3 more
2026
Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations
Xinglong Zhang, Cong Li, Hangjie Mo +13 more
2026
MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning
Manan Tayal
2026
Q-VGM: Q-Guided Value-Gradient Matching for Flow-Matching VLA Policies
Ziqian Wang, Jiayu Sun, Xingjian Mao +2 more
2026
Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach
Qiang Le, Yaguang Yang, Isaac E. Weintraub
2026